Stock Price Prediction using Machine Learning

Built a simple machine learning model to predict stock prices using Linear Regression in Python.

The project uses historical price data to train a prediction model and estimate the next stock price based on previous trends.

Technologies used:

Python, Pandas, NumPy, Scikit-learn, Matplotlib.

This project demonstrates basic machine learning, regression analysis, and data visualization skills.